Senior Data Engineer - Microsoft Fabric
Senior Data Engineer – Microsoft Fabric Considering making an application for this job Check all the details in this job description, and then click on Apply.
London | Hybrid – currently typically 2 days per month in London or Birmingham
£65,000–£75,000 + 10% bonus + 7% pension + benefits
If your Microsoft Fabric experience goes beyond building the initial solution and you've actually had to support, improve and live with what you've put into production, this role should be relevant.
A UK Wealth Management business is modernising its enterprise data platform and moving from Azure Synapse to Microsoft Fabric.
They're looking for a Senior Data Engineer who can take real ownership of production data solutions while remaining firmly hands-on.
You'll design, build and deploy solutions yourself. You'll also have the experience to make good technical decisions, solve difficult engineering problems and provide guidance to other engineers when needed.
What you'll be working on Microsoft Fabric is becoming central to the data environment, supporting operational, reporting and analytics requirements across the business.
You'll work across:
Microsoft Fabric, including Lakehouse, Warehouse and OneLake
Data pipelines and ETL/ELT
Power BI
SQL and data modelling
Azure Data Lake
Internal and third-party API integrations
Azure DevOps, Git and CI/CD
Production deployment and support
Existing Azure Synapse solutions during the transition to Fabric
You'll also help improve engineering quality and maintainability, troubleshoot production issues and share knowledge with other engineers.
What we're looking for Microsoft Fabric and Power BI are both important requirements.
For Fabric in particular, we're looking for someone who has been hands-on in their current or most recent role .
The important part is what happened after you built something.
You should have experience supporting your solutions in production, dealing with problems, improving them and seeing the longer-term consequences of the technical decisions you made.
Ideally, that experience will have been developed over a sustained period rather than through a short implementation project. The client is interested in genuine Fabric depth and production ownership , rather than using an arbitrary number of years as the measure.
You'll also need strong Data Engineering experience across:
SQL
Data modelling
ETL/ELT
Azure data platforms
API integrations
Git/source control
CI/CD
Production deployment and support
Azure Synapse would be useful but isn't essential.
You'll need previous experience developing and deploying solutions within a highly regulated environment. Financial Services experience is strongly preferred, particularly Wealth Management, Banking or Insurance.
Where AI fits The business is increasing its investment in AI, including Azure AI Foundry and wider Microsoft AI technologies.
You don't need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful.
You'll have scope to develop that experience alongside your core Data Engineering work.
Package and working arrangement £65,000–£75,000 basic salary
10% annual bonus
7% employer pension contribution
Private Medical Insurance
Income Protection
The current working pattern is typically two days per month in either London or Birmingham .
You'll need to live within approximately one hour's commute of London, Birmingham, Leeds, Reading or Bristol and be prepared to work from an office up to three days per week if future business requirements change .
While current office attendance is low, this shouldn't be considered a permanently remote position. xehkeey
If you've built meaningful Fabric experience and want to remain hands-on while taking greater ownership of production data solutions, I'm happy to give you the full context on the team, platform and plans.
London | Hybrid – currently typically 2 days per month in London or Birmingham
£65,000–£75,000 + 10% bonus + 7% pension + benefits
If your Microsoft Fabric experience goes beyond building the initial solution and you've actually had to support, improve and live with what you've put into production, this role should be relevant.
A UK Wealth Management business is modernising its enterprise data platform and moving from Azure Synapse to Microsoft Fabric.
They're looking for a Senior Data Engineer who can take real ownership of production data solutions while remaining firmly hands-on.
You'll design, build and deploy solutions yourself. You'll also have the experience to make good technical decisions, solve difficult engineering problems and provide guidance to other engineers when needed.
What you'll be working on Microsoft Fabric is becoming central to the data environment, supporting operational, reporting and analytics requirements across the business.
You'll work across:
Microsoft Fabric, including Lakehouse, Warehouse and OneLake
Data pipelines and ETL/ELT
Power BI
SQL and data modelling
Azure Data Lake
Internal and third-party API integrations
Azure DevOps, Git and CI/CD
Production deployment and support
Existing Azure Synapse solutions during the transition to Fabric
You'll also help improve engineering quality and maintainability, troubleshoot production issues and share knowledge with other engineers.
What we're looking for Microsoft Fabric and Power BI are both important requirements.
For Fabric in particular, we're looking for someone who has been hands-on in their current or most recent role .
The important part is what happened after you built something.
You should have experience supporting your solutions in production, dealing with problems, improving them and seeing the longer-term consequences of the technical decisions you made.
Ideally, that experience will have been developed over a sustained period rather than through a short implementation project. The client is interested in genuine Fabric depth and production ownership , rather than using an arbitrary number of years as the measure.
You'll also need strong Data Engineering experience across:
SQL
Data modelling
ETL/ELT
Azure data platforms
API integrations
Git/source control
CI/CD
Production deployment and support
Azure Synapse would be useful but isn't essential.
You'll need previous experience developing and deploying solutions within a highly regulated environment. Financial Services experience is strongly preferred, particularly Wealth Management, Banking or Insurance.
Where AI fits The business is increasing its investment in AI, including Azure AI Foundry and wider Microsoft AI technologies.
You don't need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful.
You'll have scope to develop that experience alongside your core Data Engineering work.
Package and working arrangement £65,000–£75,000 basic salary
10% annual bonus
7% employer pension contribution
Private Medical Insurance
Income Protection
The current working pattern is typically two days per month in either London or Birmingham .
You'll need to live within approximately one hour's commute of London, Birmingham, Leeds, Reading or Bristol and be prepared to work from an office up to three days per week if future business requirements change .
While current office attendance is low, this shouldn't be considered a permanently remote position. xehkeey
If you've built meaningful Fabric experience and want to remain hands-on while taking greater ownership of production data solutions, I'm happy to give you the full context on the team, platform and plans.